This brief introduces people with a basic background in probability theory to various problems in cancer biology that are amenable to analysis using methods of probability theory and stat… Mehr…
This brief introduces people with a basic background in probability theory to various problems in cancer biology that are amenable to analysis using methods of probability theory and statistics. The title mentions "cancer biology" and the specific illustrative applications reference cancer data but the methods themselves are more broadly applicable to all aspects of computational biology. Aside from providing a self-contained introduction to basic biology and to cancer, the brief describes four This brief introduces people with a basic background in probability theory to various problems in cancer biology that are amenable to analysis using methods of probability theory and statistics. The title mentions "cancer biology" and the specific illustrative applications reference cancer data but the methods themselves are more broadly applicable to all aspects of computational biology. Aside from providing a self-contained introduction to basic biology and to cancer, the brief describes four specific problems in cancer biology that are amenable to the application of probability-based methods. The application of these methods is illustrated by applying each of them to actual data from the biology literature. After reading the brief, engineers and mathematicians should be able to collaborate fruitfully with their biologist colleagues on a wide variety of problems. Computer Science, Advanced Computing, Computational Cancer Biology~~ Mathukumalli Vidyasagar~~Computer Science~~Advanced Computing~~9781447147510, en, Computational Cancer Biology, Mathukumalli Vidyasagar, 9781447147510, Springer, 11/28/2012, , , , Springer, 11/28/2012<
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This brief introduces people with a basic background in probability theory to various problems in cancer biology that are amenable to analysis using methods of probability theory and stat… Mehr…
This brief introduces people with a basic background in probability theory to various problems in cancer biology that are amenable to analysis using methods of probability theory and statistics. The title mentions "cancer biology" and the specific illustrative applications reference cancer data but the methods themselves are more broadly applicable to all aspects of computational biology. Aside from providing a self-contained introduction to basic biology and to cancer, the brief describes four This brief introduces people with a basic background in probability theory to various problems in cancer biology that are amenable to analysis using methods of probability theory and statistics. The title mentions "cancer biology" and the specific illustrative applications reference cancer data but the methods themselves are more broadly applicable to all aspects of computational biology. Aside from providing a self-contained introduction to basic biology and to cancer, the brief describes four specific problems in cancer biology that are amenable to the application of probability-based methods. The application of these methods is illustrated by applying each of them to actual data from the biology literature. After reading the brief, engineers and mathematicians should be able to collaborate fruitfully with their biologist colleagues on a wide variety of problems. Adult, Advanced Computing, Computational Cancer Biology~~ Mathukumalli Vidyasagar~~Adult~~Advanced Computing~~9781447147510, en, Computational Cancer Biology, Mathukumalli Vidyasagar, 9781447147510, Springer, 11/28/2012, , , , Springer, 11/28/2012<
kobo.com
E-Book zum download Versandkosten: EUR 0.00 Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
This brief introduces people with a basic background in probability theory to various problems in cancer biology that are amenable to analysis using methods of probability theory and stat… Mehr…
This brief introduces people with a basic background in probability theory to various problems in cancer biology that are amenable to analysis using methods of probability theory and statistics. The title mentions cancer biology and the specific illustrative applications reference cancer data but the methods themselves are more broadly applicable to all aspects of computational biology. Aside from providing a self-contained introduction to basic biology and to cancer, the brief describes four specific problems in cancer biology that are amenable to the application of probability-based methods. The application of these methods is illustrated by applying each of them to actual data from the biology literature. After reading the brief, engineers and mathematicians should be able to collaborate fruitfully with their biologist colleagues on a wide variety of problems. An Interaction Network Approach eBook PDF 28.11.2012 eBooks>Fremdsprachige eBooks>Englische eBooks>Sach- & Fachthemen>Biologie, Springer London, .201<
This brief introduces people with a basic background in probability theory to various problems in cancer biology that are amenable to analysis using methods of probability theory and stat… Mehr…
This brief introduces people with a basic background in probability theory to various problems in cancer biology that are amenable to analysis using methods of probability theory and statistics. The title mentions "cancer biology" and the specific illustrative applications reference cancer data but the methods themselves are more broadly applicable to all aspects of computational biology. Aside from providing a self-contained introduction to basic biology and to cancer, the brief describes four This brief introduces people with a basic background in probability theory to various problems in cancer biology that are amenable to analysis using methods of probability theory and statistics. The title mentions "cancer biology" and the specific illustrative applications reference cancer data but the methods themselves are more broadly applicable to all aspects of computational biology. Aside from providing a self-contained introduction to basic biology and to cancer, the brief describes four specific problems in cancer biology that are amenable to the application of probability-based methods. The application of these methods is illustrated by applying each of them to actual data from the biology literature. After reading the brief, engineers and mathematicians should be able to collaborate fruitfully with their biologist colleagues on a wide variety of problems. Computer Science, Advanced Computing, Computational Cancer Biology~~ Mathukumalli Vidyasagar~~Computer Science~~Advanced Computing~~9781447147510, en, Computational Cancer Biology, Mathukumalli Vidyasagar, 9781447147510, Springer, 11/28/2012, , , , Springer, 11/28/2012<
This brief introduces people with a basic background in probability theory to various problems in cancer biology that are amenable to analysis using methods of probability theory and stat… Mehr…
This brief introduces people with a basic background in probability theory to various problems in cancer biology that are amenable to analysis using methods of probability theory and statistics. The title mentions "cancer biology" and the specific illustrative applications reference cancer data but the methods themselves are more broadly applicable to all aspects of computational biology. Aside from providing a self-contained introduction to basic biology and to cancer, the brief describes four This brief introduces people with a basic background in probability theory to various problems in cancer biology that are amenable to analysis using methods of probability theory and statistics. The title mentions "cancer biology" and the specific illustrative applications reference cancer data but the methods themselves are more broadly applicable to all aspects of computational biology. Aside from providing a self-contained introduction to basic biology and to cancer, the brief describes four specific problems in cancer biology that are amenable to the application of probability-based methods. The application of these methods is illustrated by applying each of them to actual data from the biology literature. After reading the brief, engineers and mathematicians should be able to collaborate fruitfully with their biologist colleagues on a wide variety of problems. Adult, Advanced Computing, Computational Cancer Biology~~ Mathukumalli Vidyasagar~~Adult~~Advanced Computing~~9781447147510, en, Computational Cancer Biology, Mathukumalli Vidyasagar, 9781447147510, Springer, 11/28/2012, , , , Springer, 11/28/2012<
This brief introduces people with a basic background in probability theory to various problems in cancer biology that are amenable to analysis using methods of probability theory and stat… Mehr…
This brief introduces people with a basic background in probability theory to various problems in cancer biology that are amenable to analysis using methods of probability theory and statistics. The title mentions cancer biology and the specific illustrative applications reference cancer data but the methods themselves are more broadly applicable to all aspects of computational biology. Aside from providing a self-contained introduction to basic biology and to cancer, the brief describes four specific problems in cancer biology that are amenable to the application of probability-based methods. The application of these methods is illustrated by applying each of them to actual data from the biology literature. After reading the brief, engineers and mathematicians should be able to collaborate fruitfully with their biologist colleagues on a wide variety of problems. An Interaction Network Approach eBook PDF 28.11.2012 eBooks>Fremdsprachige eBooks>Englische eBooks>Sach- & Fachthemen>Biologie, Springer London, .201<
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Detailangaben zum Buch - Computational Cancer Biology
EAN (ISBN-13): 9781447147510 Erscheinungsjahr: 11 Herausgeber: Springer London
Buch in der Datenbank seit 2009-10-23T11:10:28+02:00 (Berlin) Detailseite zuletzt geändert am 2022-12-04T07:59:35+01:00 (Berlin) ISBN/EAN: 9781447147510
ISBN - alternative Schreibweisen: 978-1-4471-4751-0 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: vidyasagar
Daten vom Verlag:
Autor/in: Mathukumalli Vidyasagar Titel: SpringerBriefs in Electrical and Computer Engineering; SpringerBriefs in Control, Automation and Robotics; Computational Cancer Biology - An Interaction Network Approach Verlag: Springer; Springer London 80 Seiten Erscheinungsjahr: 2012-11-28 London; GB Sprache: Englisch 53,49 € (DE) 59,00 CHF (CH) Available XII, 80 p. 11 illus. in color.
EA; E107; eBook; Nonbooks, PBS / Biologie/Sonstiges; DV-gestützte Biologie/Bioinformatik; Verstehen; Biologically-derived Control Systems; Cancer Biology; Computational Biology; Graph Theory; Information Theory; Markov Processes; C; Computational and Systems Biology; Mathematical and Computational Biology; Control and Systems Theory; Biostatistics; Cancer Biology; Computer Science; Regelungstechnik; Wahrscheinlichkeitsrechnung und Statistik; Onkologie; BC
Introduction.- Inferring Genetic Regulatory Networks.- Context-specific Genomic Networks.- Analyzing Statistical Significance.- Separating Drivers from Passengers.- Some Research Directions. Gives the engineer and the mathematician a self-contained entry into the study of biological systems Applications drawn from real cancer data – not simulations
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